AI Medical Compendium

Cardiovascular Disease Events and Life Expectancy Lost Attributable to Machine Learning-Derived Dietary Networks: Evidence from Canadian National Nutrition Survey Linked to Routinely Collected Administrative Databases.

The Journal of nutrition May 14, 2026

BACKGROUND: Artificial intelligence and machine learning (ML) are transforming nutritional epidemiology by revealing dietary network structures invisible to conventional correlation-based methods. While traditional approaches fail to capture conditio... read more

Development and validation of multivariable prognostic machine learning models to identify patients at risk for inadequate bowel preparation when undergoing colonoscopy: a prospective, multicentre study.

BMJ open gastroenterology May 14, 2026

OBJECTIVE: Inadequate bowel preparation impairs the accuracy of colonoscopy and increases the burden on patients and healthcare systems. Consequently, the quality of bowel preparation is an important quality indicator. We aim to develop and validate ... read more

Machine learning models for outcome prediction of patients with ischaemic stroke undergoing reperfusion therapy: a systematic review and meta-analysis.

Stroke and vascular neurology May 14, 2026

BACKGROUND: Reperfusion therapy, including thrombolysis and thrombectomy, is crucial for ischaemic stroke treatment. However, patient outcomes often remain suboptimal. Conventional regression models show limited accuracy in predicting outcomes after ... read more

Achieving Ultra-High Acceleration Rates in 7T MRI Using Combined Controlled Aliasing in Parallel Imaging and Compressed Sensing with Deep-Learning-Based Image Reconstruction.

AJNR. American journal of neuroradiology May 14, 2026

BACKGROUND AND PURPOSE: Clinical adoption of 7T MRI has been limited by lengthy acquisitions. Acceleration techniques, such as controlled aliasing in parallel imaging (CAIPI) and compressed sensing (CS), can reduce scan time but are prone to artifact... read more

Analysis of choroidal OCT intensity and profile changes in high myopia: correlation with visual impairment and identification of pathological myopia.

The British journal of ophthalmology May 14, 2026

AIMS: To investigate the changes in choroidal optical coherence tomography (OCT) radiomic features, their correlations with visual acuity and utility in identifying pathological myopia (PM). METHODS: A total of 288 myopic participants aged 18-50 year... read more

Understanding Cell Wall Enzyme Function: From Classical Approaches to New Biotechnology.

Journal of experimental botany May 14, 2026

Plant cell walls are complex networks of polysaccharides that underpin plant structure and provide dietary fibers that promote human health. These polymers are assembled and remodeled by carbohydrate-active enzymes (CAZymes), which have been more cha... read more

A probabilistic framework for risk-bounded patient-specific quality assurance in volumetric modulated arc therapy based on measured and calculated gamma pass rates.

Zeitschrift fur medizinische Physik May 14, 2026

This study introduces a probabilistic framework for patient-specific quality assurance (PSQA) in volumetric modulated arc therapy (VMAT), using gamma pass rates obtained from both measurement-based and independent calculation-based PSQA. The model qu... read more

Few-Shot Prediction of Toxicity of Ionic Liquids Supported by Attentive Model-Agnostic Meta-Learning.

Chemical research in toxicology May 14, 2026

Prediction of chemical compounds' toxicity enables efficient and rapid screening at the cost of utilizing experimental data as a foundation for artificial intelligence (AI) models. Given the constraints of limited data availability, few-shot learning... read more

Cuffless hemodynamic monitoring with physics-informed machine learning models.

Nature communications May 14, 2026

Wearable technologies have the potential to transform ambulatory and at-home hemodynamic monitoring by providing continuous assessments of cardiovascular health metrics and guiding clinical management. However, existing cuffless wearable devices for ... read more

Large-scale data-driven pre-trained DNA models enhance performance across diverse genomics tasks.